iPhone 15 Pro
Geekbench AI Score
3729
Single Precision Score
6858
Half Precision Score
5617
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 02:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1573
292.6 IPS |
|
|
Image Classification (HP)
|
100% |
2968
552.0 IPS |
|
|
Image Classification (Q)
|
96% |
2047
382.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2342
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3024
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6923
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
15606
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13482
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1651
131.0 IPS |
|
|
Object Detection (HP)
|
97% |
3247
258.5 IPS |
|
|
Object Detection (Q)
|
94% |
2331
185.8 IPS |
|
|
Face Detection (SP)
|
100% |
3049
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6735
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
3781
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6672
51.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12740
98.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8925
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20233
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32882
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27047
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4436
163.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5605
207.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4308
159.1 IPS |
|
|
Text Classification (SP)
|
100% |
3253
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5617
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5527
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3165
54.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7359
127.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7398
127.8 IPS |
